MGL
Module Graphical Lasso
An aggressive dimensionality reduction and network estimation technique for a high-dimensional Gaussian graphical model (GGM). Please refer to: Efficient Dimensionality Reduction for High-Dimensional Network Estimation, Safiye Celik, Benjamin A. Logsdon, Su-In Lee, Proceedings of The 31st International Conference on Machine Learning, 2014, p. 1953--1961.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | MGL_1.1.tar.gz |
15.4 KiB |
1.1 |
rolling linux/noble R-4.5 | MGL_1.1.tar.gz |
15.4 KiB |
1.1 |
rolling source/ R- | MGL_1.1.tar.gz |
5.1 KiB |
1.1 |
latest linux/jammy R-4.5 | MGL_1.1.tar.gz |
15.4 KiB |
1.1 |
latest linux/noble R-4.5 | MGL_1.1.tar.gz |
15.4 KiB |
1.1 |
latest source/ R- | MGL_1.1.tar.gz |
5.1 KiB |
1.1 |
2026-04-26 source/ R- | MGL_1.1.tar.gz |
5.1 KiB |
1.1 |
2026-04-23 source/ R- | MGL_1.1.tar.gz |
5.1 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | MGL_1.1.zip |
22.0 KiB |
1.1 |
2025-04-20 source/ R- | MGL_1.1.tar.gz |
5.1 KiB |